# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
identity op
"""
from typing import List
from aitemplate import backend
from aitemplate.backend import registry
from aitemplate.compiler.base import IntVar, Operator, Tensor
[docs]class identity(Operator):
"""
Returns the input tensor. This could be useful for only name changes etc.
"""
def __init__(self):
super().__init__()
self._attrs["op"] = "identity"
def _infer_shapes(self, x: Tensor) -> List[IntVar]:
return x.shape()
def __call__(self, x: Tensor) -> Tensor:
self._attrs["inputs"] = [x]
self._set_depth()
output_shapes = self._infer_shapes(x)
output = Tensor(output_shapes, src_ops={self}, is_view_of=x)
self._attrs["outputs"] = [output]
return output
[docs] def gen_function(self) -> str:
target = backend.target.Target.current()
func_key = "{target}.{op}.gen_function".format(
target=target.name(), op=self._attrs["op"]
)
func = registry.get(func_key)
return func(
self._attrs,
)